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The purpose of this paper is to describe a Six Sigma‐based method to renovate library and information services with great emphasis on the information acquisition process.

The paper conducts a case study into a corporate research library of a telecom company in Korea to identify and remove ineffective components and unnecessary steps in library works and services. Specifically, it uses Six Sigma's DMAIC (define, measure, analyze, improve, and control) methodology to improve the process of purchasing overseas academic/scientific information and to enhance user satisfaction with information utilization.

The paper identifies 12 key factors, which have a great effect on information acquisition time and information utilization, and then proposes the improvement plans for those identified factors. Thanks to the successful implementation of Six Sigma, information acquisition time has been reduced from 25.9 days to 8.1 days, and the level of user satisfaction with information utilization has been greatly increased from 6.74 points to 8.46 points on the Likert scale.

This study is very meaningful in that it is the first attempt in Korea to apply Six Sigma to library and information services. In this work, Six Sigma has been applied only to an information purchase process, but can be extended to a variety of other library processes such as loan, cataloging, etc. for the purpose of raising the efficiency of library works and improving the quality of other information services.

Many companies in the publishing industry are facing the task of developing new business models and becoming more efficient and effective in execution. Lean Six Sigma (LSS) is a unified framework for systematically developing efficiency and quality improvements; it can help realize significant results and breakthrough improvements in the publishing industry, as demonstrated with many projects from a Dutch multinational publishing company. The purpose of this paper is to facilitate the process of defining LSS projects in publishing, because lack of a clear definition is an important cause for project failure.

The paper discusses and categorizes 49 project definitions based on two elements: the critical to quality flowdown and the corresponding set of operational definitions and shows how this simple categorization and subsequent standardization of approaches can help LSS teams simplify the definition phase.

The strategy presented in this paper provides seven standard LSS project definitions (“generic templates”).

Project leaders can use the templates presented in this paper as an example and as a guide in the project definition phase. This helps them to formulate crystal‐clear project definitions, which have explicitly stated goals and a solid business rationale.

The objective of this research is to provide practitioners with inter-industry applicable rules and guidelines for the Lean Six Sigma (LSS) project definition phase. This research resulted in 13 inter-industry generic project definitions that are divided by four performance dimensions: quality, dependability, speed and cost efficiency.

A total of 312 previously executed LSS improvement projects in a broad variety of industries at black belt or master black belt level are analyzed. All these projects have followed the LSS methodology and are characterized by the use of critical to quality (CTQ) measurements and the structured improvement method of define, measure, analyse, improve and control for operations improvement.

This research resulted in 13 inter-industry generic project definitions that are divided by four performance dimensions: quality, dependability, speed and cost efficiency. Three factors that have stood out in this research are; the difficulty to capture the performance dimension flexibility in LSS project definitions, the strong focus on internal organizational benefits in defining CTQs for LSS project definitions and the unclear alignment of LSS project definitions to existing strategic objectives of the company.

This research established useable generic LSS project definitions including generic CTQ’s measures, applicable to multiple industries. These generic LSS project definitions provide useful guidance in the initial LSS project phase, helping to decompose strategic focal points into clear and measurable project objectives.

The purpose of this paper is to create actionable knowledge, thereby supporting and stimulating practitioners to improve processes in the financial services sector.

This paper is based on a case base of improvement projects in financial service organizations. The data consist of 181 improvement projects of processes in 14 financial service organizations executed between 2004 and 2010. Following the case‐based reasoning approach, based on retrospective analysis of the documentation of these improvement projects, this paper aims to structure this knowledge in a way that supports practitioners in defining improvement projects in their own organizations.

Identification of eight generic project definition templates, along with their critical to quality flowdowns and operational definitions. An overview of the distribution of improvement projects of each generic template over different departments and the average benefit per project for each department. The generic templates give people with knowledge about the process under improvement the ability to use their knowledge effectively in the form of an improvement project.

Due to increasing international competition, financial service organizations must continuously improve in order to secure a competitive advantage. This paper turns continuous improvement from an abstract concept into something tangible and achievable, by giving practitioners with local knowledge tried and tested templates to identify promising themes for process improvement, and to make effective project definitions.

The effective implementation of the six sigma strategy within UK manufacturing industries, in particular SMEs, can be considered to be poor. SMEs cite high costs and complexity of implementation as being the major limiting factors as to its widespread use. This paper aims to describe the application of six sigma in an SME and to show how the company applied a cost‐effective six sigma methodology to eradicate a critical to quality (CTQ) issue. The paper seeks to conclude by developing a strategic framework for the widespread use of six sigma in SMEs.

This paper applies the six sigma strategy in an SME in order to eradicate a major CTQ issue. It identifies the approach employed, the tools and techniques used and shows the savings that were made through the structured application of the DMAIC procedure, which is at the heart of the six sigma approach.

Through the correct application of experimental design approaches, this paper identifies the optimum parameter settings that enabled the company to eradicate the CTQ issue and achieve significant improvements in quality and cost from a modest financial outlay.

The design and implementation of an SME‐specific six sigma strategy and its application to a real engineering problem will enable companies to apply the techniques and to attain improvements in terms of cost and quality.

The application of the six sigma strategy and the resulting conclusions as to its effectiveness for industry are the real value of this paper. This paper will be valuable for quality professionals, design engineers and manufacturing specialists in a wide range of industries.

This paper seeks to present a way of estimating DisPMO, DePMO, left‐side and right‐side Sigma levels (as the “mutations” of DPMO and Sigma level when applied on customer satisfaction measurements), where all critical attributes (CTQs) contain data sets that are non‐normally distributed.

The calculation of DisPMO, DePMO, left‐side and right‐side Sigma levels is based on dynamic‐multiple CTQs without the need for assuming 1.5 Sigma shift from the mean. Using step‐wise multiple regression, CTQs are then the attributes that significantly influence overall customer satisfaction. This further developed method no longer takes normality assumption for granted, which means that, prior to calculating DisPMO, DePMO, left‐side and right‐side Sigma levels, the data should be proven as being normally distributed. To fulfil the assumption of normality, the primary data are being “replicated” by first generating random numbers that follow normal standard distribution and then adjusting (re‐calculating) these random numbers with the mean, standard deviation, and the skewness of the primary data. Simulation technique is then applied to generate a larger amount of secondary data as the basis for estimating DisPMO, DePMO, left‐side and right‐side Sigma levels.

The application of the method in a Swedish house‐building construction project suggests that: the use of multiple CTQs may reduce the risk for under‐/overestimation of Sigma levels, and DisPMO and DePMO are each other's “mirror” and both of them should be considered when calculating Sigma levels. The calculated Sigma levels suggest that the developer's performance is still quite far below Six Sigma level of performance.

Using the replica of the primary data as a way of approaching normality may be regarded as the main contribution of the paper in addressing one of the challenges in Six Sigma theory.

The purpose of this paper is to develop a conceptual framework to facilitate widening the scope of Six Sigma implementation in service organizations.

Using grounded theory methodology, this study develops theory for Six Sigma implementation in service organizations. The study involves a questionnaire survey and case studies to understand and build a conceptual framework. The survey is conducted in service organizations in Singapore and is exploratory. The case studies involved three service organizations which implement Six Sigma. The objective is to explore and understand the issues highlighted by the survey and the literature.

The findings confirm the inclusion of critical success factors, critical‐to‐quality characteristics, and set of tools and techniques as observed from the literature. In the case of key performance indicators (KPI), there are different interpretations about it in the literature and also by industry practitioners. Some literature explains KPIs as performance metrics whereas some feel it as key process input or output variables, which is similar to interpretations by practitioners of Six Sigma. The responses of “not relevant” and “unknown to us” as reasons for not implementing Six Sigma show the need for understanding specific requirements of service organizations.

Though much theoretical description is available about Six Sigma, there has been limited rigorous academic research on it. This gap is far more pronounced about Six Sigma implementation in service organizations, where the theory is not yet mature. Identifying this need, the paper contributes by going through theory building exercise and developing a conceptual framework to understand the issues involving its implementation in service organizations.

Cost reduction is a current topic within healthcare. This article aims to show how Lean Six Sigma can be applied to make the orthopedic outpatient clinic within a hospital more cost-effective. The approach can, of course, also be applied to other departments.

We did a pareto analysis to select the project with the greatest potential. The most expensive and time-consuming activity is repeat consultations; these number around 7,500 per year and are all performed by the orthopedic surgeon. This limits the number of appointments available for new patients. Moreover, the hospital gets a fixed amount of money for each new patient. Therefore, reducing the number of repeat consultations is beneficial to both the patient and the hospital.

Based on data analysis, we found that the number of repeat consultations performed by orthopedic surgeons can be reduced by 19.5%. An additional 10.8% can be performed by phone, which will probably save the surgeons considerable time. The freed-up time can be used for new patients. Another result is that hospital visits by patients for repeat consults can be reduced by 20.3%. We believe that these efficiency improvements are also possible for other departments/processes. Finally, in the given case, the freed-up time for new patients could generate 465K euros.

This article shows that 20% of the care provided by the physicians (i.e. repeat consults) is omissible. While most projects focus on doing the same number of activities in a more efficient way, this paper shows that it is also possible to reduce the amount of medical care provided. We believe that it would be beneficial to take such a perspective when looking at other processes and departments within healthcare.

The purpose of this paper is to provide a demonstration of the application of techniques for robust optimization for improvement of the injection moulding processes in an injection moulding small and medium sized enterprise (SME).

A critical to quality characteristic (CtQ) which is connected to assembly problems is the subject of investigation. The CtQ is not directly measurable. The variation in a dimension of a product, which is correlated to the CtQ, is studied using design of experiments (DoE) and Taguchi methods. A two-cavity mould is used in the injection moulding process. To evaluate the robustness of the process using signal-to-noise analysis, the data were transformed to compensate for the systematic differences between the mould cavities.

The initial results showed that finding optimal process parameter settings commonly valid for both cavities was impossible. After a modification of the mould, the experiments were rerun and optimal settings could be found.

Applying DoE techniques in small and medium-sized injection moulding companies is far from common practice. This case study demonstrates a method to apply DoE with five process parameters which can serve as a standard method to prepare production when a new mould is used for the first time.

The originality is connected to the combination of the applied methods and, in the context of the case study, carried out in an SME unfamiliar with the power of the applied methods. The value of the paper is to demonstrate the power of the most powerful technique in quality engineering to improve an injection moulding process within the context of SMEs. The authors would accentuate the point that the true power becomes visible when this powerful technique is introduced into an organization with very little understanding of the technique. In addition, the case study is valuable to practitioners because it proposes a new scientific and systematic approach to understand and optimize the start-up of the moulding process.

This paper aims to investigate the sources of variation in aluminum profiles hot extrusion process for the purpose of process capability improvement at National Aluminum and Profiles Company (NAPCO) in Palestine. The critical-to-quality characteristics (CTQ) have been determined as base variables to measure the process capability.

The DMAIC (Define, Measure, Analyze, Improve, and Control) Lean Six Sigma (LSS) approach has been adopted to conduct this study. More specifically, historical data analysis and PARETO charts have been employed. The defects' root causes have been determined using the cause-and-effect diagram and decision matrix. A course of suggested actions has been established to help in improving extrusion process capability. Minitab-18 software was used for conducting inferential statistical analysis. A case study considering a geometry CTQ of D3 dimension of bottom sash aluminum profiles 4,332 was selected for analysis.

The results indicated a reduction in DPMO from 89,649 to 15,659, sigma level was improved from 2.84 to 3.65, process yield was improved from 91.04% to 98.43% and cost was reduced from U$75,972 to U$13,250.9 (i.e. a saving of U$62,721). Studying and improving the sigma level of the extrusion process would yield fewer defective products and consequently fewer customer complaints. A validation process which has been conducted during the year 2019 showed a consistent improvement that aligns with the first stage of improvement made on October 1, 2018.

This study focuses on only one critical quality characteristic (CTQ), namely, a geometry CTQ of D3 dimension of bottom sash aluminum profiles 4,332 produced by NAPCO was selected for analysis.

This study would be useful for researchers and practitioners to improve the process capability in aluminum profiles manufacturing industries in general and hot extrusion processes in particular.

Many previous studies on applying LSS-DMAIC methodology have been conducted in aluminum industries in developed countries. According to the literature, it is highly recommended to have more case studies of applying LSS-DMAIC in different industries in developing countries. NAPCO is the only aluminum manufacturing plant in Palestine that hotly extrudes and coats aluminum profiles. Hence, the present study is the first of its kind in NAPCO and in Palestine. Projecting the assessment of the impact of process improvement opportunities and capability analyses into monetary measures are also innovative.